Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
1.
Am J Transplant ; 18(5): 1187-1196, 2018 05.
Artículo en Inglés | MEDLINE | ID: mdl-29116679

RESUMEN

The Model for End-Stage Liver Disease (MELD) score predicts higher transplant healthcare utilization and costs; however, the independent contribution of functional status towards costs is understudied. The study objective was to evaluate the association between functional status, as measured by Karnofsky Performance Status (KPS), and liver transplant (LT) costs in the first posttransplant year. In a cohort of 598 LT recipients from July 1, 2009 to November 30, 2014, multivariable models assessed associations between KPS and outcomes. LT recipients needing full assistance (KPS 10%-40%) vs being independent (KPS 80%-100%) were more likely to be discharged to a rehabilitation facility after LT (22% vs 3%) and be rehospitalized within the first posttransplant year (78% vs 57%), all P < .001. In adjusted generalized linear models, in addition to MELD (P < .001), factors independently associated with higher 1-year post-LT transplant costs were older age, poor functional status (KPS 10%-40%), living donor LT, pre-LT hemodialysis, and the donor risk index (all P < .001). One-year survival for patients in the top cost decile was 83% vs 93% for the rest of the cohort (log rank P < .001). Functional status is an important determinant of posttransplant resource utilization; therefore, standardized measurements of functional status should be considered to optimize candidate selection and outcomes.


Asunto(s)
Enfermedad Hepática en Estado Terminal/economía , Rechazo de Injerto/economía , Trasplante de Hígado/economía , Aceptación de la Atención de Salud , Complicaciones Posoperatorias/economía , Donantes de Tejidos/provisión & distribución , Obtención de Tejidos y Órganos/economía , Enfermedad Hepática en Estado Terminal/cirugía , Femenino , Estudios de Seguimiento , Rechazo de Injerto/epidemiología , Supervivencia de Injerto , Humanos , Incidencia , Masculino , Persona de Mediana Edad , Pronóstico , Estudios Retrospectivos , Factores de Riesgo , Tasa de Supervivencia , Listas de Espera
2.
Am J Transplant ; 18(5): 1231-1237, 2018 05.
Artículo en Inglés | MEDLINE | ID: mdl-29316310

RESUMEN

Currently, there is debate among the liver transplant community regarding the most appropriate mechanism for organ allocation: urgency-based (MELD) versus utility-based (survival benefit). We hypothesize that MELD and survival benefit are closely associated, and therefore, our current MELD-based allocation already reflects utility-based allocation. We used generalized gamma parametric models to quantify survival benefit of LT across MELD categories among 74 196 adult liver-only active candidates between 2006 and 2016 in the United States. We calculated time ratios (TR) of relative life expectancy with transplantation versus without and calculated expected life years gained after LT. LT extended life expectancy (TR > 1) for patients with MELD > 10. The highest MELD was associated with the longest relative life expectancy (TR = 1.05 1.201.37 for MELD 11-15, 2.29 2.492.70 for MELD 16-20, 5.30 5.726.16 for MELD 21-25, 15.12 16.3517.67 for MELD 26-30; 39.26 43.2147.55 for MELD 31-34; 120.04 128.25137.02 for MELD 35-40). As a result, candidates with the highest MELD gained the most life years after LT: 0.2, 1.5, 3.5, 5.8, 6.9, 7.2 years for MELD 11-15, 16-20, 21-25, 26-30, 31-34, 35-40, respectively. Therefore, prioritizing candidates by MELD remains a simple, effective strategy for prioritizing candidates with a higher transplant survival benefit over those with lower survival benefit.


Asunto(s)
Enfermedad Hepática en Estado Terminal/mortalidad , Trasplante de Hígado/mortalidad , Índice de Severidad de la Enfermedad , Donantes de Tejidos/provisión & distribución , Obtención de Tejidos y Órganos/estadística & datos numéricos , Listas de Espera/mortalidad , Enfermedad Hepática en Estado Terminal/patología , Enfermedad Hepática en Estado Terminal/cirugía , Femenino , Estudios de Seguimiento , Humanos , Masculino , Persona de Mediana Edad , Selección de Paciente , Pronóstico , Tasa de Supervivencia , Factores de Tiempo , Tiempo de Tratamiento
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA